Guest on AI Engineer.

Devin 2.0 and the Future of SWE - Scott Wu, Cognition
Jul 25, 2025 · 16:13
Scott Wu of Cognition AI describes an AI 'Moore's Law' for coding agents, with capability doubling every 70 days, propelling Devin from simple migrations to autonomous project work. He traces Devin's evolution through tiers: first repetitive migrations using Playbooks for instruction-following, then isolated bugs with VM snapshots, then multi-file changes with codebase intelligence, and finally backlog killing with self-testing. Each tier required solving different bottlenecks—memory, language server integration, iterative planning, and confidence calibration. Wu argues that the interface and key capabilities shift every 2-3 months, and predicts another 16-64x improvement in the next year.

The Making of Devin by Cognition AI: Scott Wu
Jul 11, 2024 · 20:04
Scott Wu, co-founder and CEO of Cognition AI, demonstrates Devin, a fully autonomous AI software engineer that builds and deploys working applications from plain English instructions, sharing the early lessons and vision behind the product. Devin built a name game website for the AI Engineer World's Fair in minutes, iterating on feedback to hide names, add a streak counter, and deploy the final version. Cognition uses Devin internally for features like a search bar and dashboards; Wu notes that engineers typically spend 80–90% of time on implementation, but Devin frees them to focus on architecture and problem-solving, making them 5–10x more productive while increasing overall demand for software. He also highlights the UX challenges of agents, which require new interactions beyond text completion, and notes that access to Devin is expanding via a waitlist.
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